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Clinical decision-making, knowledge support systems, and theory

Section edited by Paul Taylor

This section aims to publish studies on the development, implementation and evaluation of clinical decision support systems. The section also accepts articles on the theoretical support of clinical decision-making (including shared-decision making), decision analysis, and decision aids.

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  1. Unsatisfactory colposcopy, where the cells of interest are not visible in women with a positive cervical screening test, is a common area of clinical uncertainty due to the lack of clear evidence and guidance....

    Authors: Kristyn M. Manley, Rebecca A. Simms, Sarah Platt, Amit Patel and Rachna Bahl

    Citation: BMC Medical Informatics and Decision Making 2017 17:125

    Content type: Research article

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  2. Implementing patient decision aids in clinic workflow has proven to be a challenge for healthcare organizations and physicians. Our aim was to determine the organizational strategies, motivations, and facilita...

    Authors: Peter Scalia, Glyn Elwyn and Marie-Anne Durand

    Citation: BMC Medical Informatics and Decision Making 2017 17:124

    Content type: Research article

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  3. Intensive care clinicians use several sources of data in order to inform decision-making. We set out to evaluate a new interactive data integration platform called T3™ made available for pediatric intensive ca...

    Authors: Ying Ling Lin, Anne-Marie Guerguerian, Jessica Tomasi, Peter Laussen and Patricia Trbovich

    Citation: BMC Medical Informatics and Decision Making 2017 17:122

    Content type: Research article

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  4. Human Papillomavirus (HPV) leads to serious health issues and remains the most common sexually transmitted infection. Despite availability of effective vaccines, HPV vaccination rates are suboptimal. Furthermo...

    Authors: Brian E. Dixon, Monica L. Kasting, Shannon Wilson, Amit Kulkarni, Gregory D. Zimet and Stephen M. Downs

    Citation: BMC Medical Informatics and Decision Making 2017 17:119

    Content type: Research article

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  5. Shared decision making is essential to patient centered care, but can be difficult for busy clinicians to implement into practice. Tools have been developed to aid in shared decision making and embedded in ele...

    Authors: Aimee Yu Ballard, Maya Kessler, Marianne Scheitel, Victor M. Montori and Rajeev Chaudhry

    Citation: BMC Medical Informatics and Decision Making 2017 17:118

    Content type: Research article

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  6. Cardiovascular disease (CVD) has become the leading cause of death in China, and most of the cases can be prevented by controlling risk factors. The goal of this study was to build a corpus of CVD risk factor ...

    Authors: Jia Su, Bin He, Yi Guan, Jingchi Jiang and Jinfeng Yang

    Citation: BMC Medical Informatics and Decision Making 2017 17:117

    Content type: Research article

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  7. Genetic testing, especially in pharmacogenomics, can have a major impact on patient care. However, most physicians do not feel that they have sufficient knowledge to apply pharmacogenomics to patient care. Onl...

    Authors: Bret S. E. Heale, Aly Khalifa, Bryan L. Stone, Scott Nelson and Guilherme Del Fiol

    Citation: BMC Medical Informatics and Decision Making 2017 17:113

    Content type: Research article

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  8. A patient decision aid (PtDA) can support shared decision making (SDM) in preference-sensitive care, with more than one clinically applicable treatment option. The development of a PtDA is a complex process, i...

    Authors: W. Savelberg, T. van der Weijden, L. Boersma, M. Smidt, C. Willekens and A. Moser

    Citation: BMC Medical Informatics and Decision Making 2017 17:112

    Content type: Research article

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  9. The US Veterans Administration (VA) has developed a robust and mature computational infrastructure in support of its electronic health record (EHR). Web technology offers a powerful set of tools for structurin...

    Authors: Nallakkandi Rajeevan, Kristina M. Niehoff, Peter Charpentier, Forrest L. Levin, Amy Justice, Cynthia A. Brandt, Terri R. Fried and Perry L. Miller

    Citation: BMC Medical Informatics and Decision Making 2017 17:111

    Content type: Correspondence

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  10. NHS England has mandated the use in hospital laboratories of an automated early warning algorithm to create a consistent method for the detection of acute kidney injury (AKI). It generates an ‘alert’ based on ...

    Authors: M. Johnson, H. Hounkpatin, S. Fraser, D. Culliford, M. Uniacke and P. Roderick

    Citation: BMC Medical Informatics and Decision Making 2017 17:106

    Content type: Research article

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  11. Machine learning algorithms hold potential for improved prediction of all-cause mortality in cardiovascular patients, yet have not previously been developed with high-quality population data. This study compar...

    Authors: John Wallert, Mattia Tomasoni, Guy Madison and Claes Held

    Citation: BMC Medical Informatics and Decision Making 2017 17:99

    Content type: Research article

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  12. Understanding semantic relatedness and similarity between biomedical terms has a great impact on a variety of applications such as biomedical information retrieval, information extraction, and recommender syst...

    Authors: Yongjun Zhu, Erjia Yan and Fei Wang

    Citation: BMC Medical Informatics and Decision Making 2017 17:95

    Content type: Research article

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  13. MEDLINE is the most widely used medical bibliographic database in the world. Most of its citations are in English and this can be an obstacle for some researchers to access the information the database contain...

    Authors: Matthieu Schuers, Mher Joulakian, Gaetan Kerdelhué, Léa Segas, Julien Grosjean, Stéfan J. Darmoni and Nicolas Griffon

    Citation: BMC Medical Informatics and Decision Making 2017 17:94

    Content type: Research article

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  14. Most public health agencies expect reporting of diseases to be initiated by hospital, laboratory or clinic staff even though so-called passive approaches are known to be burdensome for reporters and produce in...

    Authors: Brian E. Dixon, Zuoyi Zhang, Patrick T. S. Lai, Uzay Kirbiyik, Jennifer Williams, Rebecca Hills, Debra Revere, P. Joseph Gibson and Shaun J. Grannis

    Citation: BMC Medical Informatics and Decision Making 2017 17:87

    Content type: Research article

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  15. Patient decision aids (DAs) are support tools designed to provide patients with relevant information to help them make informed decisions about their healthcare. While DAs can be effective in improving patient...

    Authors: Amanda M. Clifford, Jean Ryan, Cathal Walsh and Arlene McCurtin

    Citation: BMC Medical Informatics and Decision Making 2017 17:22

    Content type: Research article

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  16. The way software for electronic health records and laboratory tests ordering systems are designed may influence physicians’ prescription. A randomised controlled trial was performed to measure the impact of a ...

    Authors: Carlos Manuel Silva Martins, Andreia Sofia da Costa Teixeira, Luís Filipe Ribeiro de Azevedo, Luísa Maria Barbosa Sá, Paulo Alexandre Azevedo Pereira Santos, Maria Luciana Gomes Domingues do Couto, Altamiro Manuel Rodrigues da Costa Pereira, Alberto Augusto Oliveira Pinto Hespanhol and Cristina Maria Nogueira da Costa Santos

    Citation: BMC Medical Informatics and Decision Making 2017 17:20

    Content type: Research article

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  17. In Australia, screening for colorectal cancer (CRC) with colonoscopy is meant to be reserved for people at increased risk, however, currently there is a mismatch between individuals’ risk of CRC and the type o...

    Authors: Jennifer G Walker, Adrian Bickerstaffe, Nadira Hewabandu, Sanjay Maddumarachchi, James G Dowty, Mark Jenkins, Marie Pirotta, Fiona M Walter and Jon D Emery

    Citation: BMC Medical Informatics and Decision Making 2017 17:13

    Content type: Research article

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  18. Patient decision aids aim to present evidence relevant to a health decision in understandable ways to support patients through the process of making evidence-informed, values-congruent health decisions. It is ...

    Authors: Michèle Dugas, Marie-Ève Trottier, Selma Chipenda Dansokho, Gratianne Vaisson, Thierry Provencher, Heather Colquhoun, Maman Joyce Dogba, Sophie Dupéré, Angela Fagerlin, Anik M. C. Giguere, Lynne Haslett, Aubri S. Hoffman, Noah M. Ivers, France Légaré, Jean Légaré, Carrie A. Levin…

    Citation: BMC Medical Informatics and Decision Making 2017 17:12

    Content type: Research article

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  19. Clinical guidelines support decision-making at the point-of-care but the onus is often on individual users such as physicians to implement them. Research shows that the inclusion of implementation tools in or ...

    Authors: Melissa J. Armstrong, Gary S. Gronseth, Richard Dubinsky, Sonja Potrebic, Rebecca Penfold Murray, Thomas S. D. Getchius, Carol Rheaume and Anna R Gagliardi

    Citation: BMC Medical Informatics and Decision Making 2017 17:9

    Content type: Research article

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  20. Borderline personality disorder (BPD) is a complex clinical state with highly polymorphic symptoms and signs. Studies have demonstrated that people with a BPD diagnosis are likely to have numerous co-occurring...

    Authors: Cheng-Che Shen, Li-Yu Hu and Ya-Han Hu

    Citation: BMC Medical Informatics and Decision Making 2017 17:8

    Content type: Research article

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  21. The concept of shared-decision-making is a well-established approach to increase the participation of patients in medical decisions. Using lifetime risk or time-to-event (TTE) formats has been increasingly sug...

    Authors: Charles Christian Adarkwah, Nikita Jegan, Monika Heinzel-Gutenbrunner, Felicitas Kühne, Uwe Siebert, Uwe Popert, Norbert Donner-Banzhoff and Sarah Kürwitz

    Citation: BMC Medical Informatics and Decision Making 2016 16:152

    Content type: Research article

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  22. The delivery of radiotherapy (RT) involves the use of rather expensive resources and multi-disciplinary staff. As the number of cancer patients receiving RT increases, timely delivery becomes increasingly diff...

    Authors: Bruno Vieira, Erwin W. Hans, Corine van Vliet-Vroegindeweij, Jeroen van de Kamer and Wim van Harten

    Citation: BMC Medical Informatics and Decision Making 2016 16:149

    Content type: Research article

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  23. Longitudinal, patient-centered care represents a challenge for general practitioners (GPs), and in this context, reminder systems can offer targeted support. This study aimed to identify details of such remind...

    Authors: Christine Kersting and Birgitta Weltermann

    Citation: BMC Medical Informatics and Decision Making 2016 16:148

    Content type: Research article

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  24. Women of low socioeconomic status (SES) diagnosed with early stage breast cancer are less likely to be involved in treatment decisions. They tend to report higher decisional regret and poorer communication. Ev...

    Authors: Shama Alam, Glyn Elwyn, Sanja Percac-Lima, Stuart Grande and Marie-Anne Durand

    Citation: BMC Medical Informatics and Decision Making 2016 16:147

    Content type: Research article

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  25. Digitized (scanned) medical records have been seen as a means for hospitals to reduce costs and improve access to records. However, clinical usability of digitized records can potentially have negative effects...

    Authors: Philip J. Scott, Paul J. Curley, Paul B. Williams, Ian P. Linehan and Steven H. Shaha

    Citation: BMC Medical Informatics and Decision Making 2016 16:143

    Content type: Research article

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  26. We previously developed YouthCHAT, a youth programme for electronic screening and intervention for lifestyle risk factors and mental health issues. Our aim was to tailor the YouthCHAT package for use in a clin...

    Authors: Felicity Goodyear-Smith, Arden Corter and Hannah Suh

    Citation: BMC Medical Informatics and Decision Making 2016 16:140

    Content type: Research article

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  27. Cognitive biases and personality traits (aversion to risk or ambiguity) may lead to diagnostic inaccuracies and medical errors resulting in mismanagement or inadequate utilization of resources. We conducted a ...

    Authors: Gustavo Saposnik, Donald Redelmeier, Christian C. Ruff and Philippe N. Tobler

    Citation: BMC Medical Informatics and Decision Making 2016 16:138

    Content type: Research article

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  28. Postoperative adverse events are known to increase length of stay and cost. However, research on how adverse events affect patient flow and operational performance has been relatively limited to date. Moreover...

    Authors: Ahmed Almashrafi and Laura Vanderbloemen

    Citation: BMC Medical Informatics and Decision Making 2016 16:136

    Content type: Research article

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  29. The Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN) is an international collaborative project with the overall objective of standardizing the approach to the evaluation and treatment o...

    Authors: Amelia Barwise, Lisbeth Garcia-Arguello, Yue Dong, Manasi Hulyalkar, Marija Vukoja, Marcus J. Schultz, Neill K. J. Adhikari, Benjamin Bonneton, Oguz Kilickaya, Rahul Kashyap, Ognjen Gajic and Christopher N. Schmickl

    Citation: BMC Medical Informatics and Decision Making 2016 16:127

    Content type: Research article

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  30. Trauma is the leading cause of death between the ages of 1 to 44 in the United States. Blood loss is the primary cause of these deaths. The discrimination of states through which patients transition would be h...

    Authors: Yuanyang Zhang, Tie Bo Wu, Bernie J. Daigle Jr, Mitchell Cohen and Linda Petzold

    Citation: BMC Medical Informatics and Decision Making 2016 16:124

    Content type: Research Article

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  31. Presentation of confidence intervals alongside information about treatment effects can support informed treatment choices in people with multiple sclerosis.

    Authors: Anne C. Rahn, Imke Backhus, Franz Fuest, Karin Riemann-Lorenz, Sascha Köpke, Adrianus van de Roemer, Ingrid Mühlhauser and Christoph Heesen

    Citation: BMC Medical Informatics and Decision Making 2016 16:122

    Content type: Research article

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  32. Approximately 90 % of physicians in Japan use Kampo medicine in daily practice. However, it is a challenge for physicians who do not specialize in Kampo medicine to select a proper Kampo formula out of the 148...

    Authors: Tetsuhiro Yoshino, Kotoe Katayama, Yuko Horiba, Kaori Munakata, Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Hideki Mima and Kenji Watanabe

    Citation: BMC Medical Informatics and Decision Making 2016 16:118

    Content type: Research article

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  33. The Analytic Hierarchy Process (AHP) is increasingly used to measure patient priorities. Studies have shown that there are several different approaches to data acquisition and data aggregation. The aim of this...

    Authors: Frédéric Pauer, Katharina Schmidt, Ana Babac, Kathrin Damm, Martin Frank and J.-Matthias Graf von der Schulenburg

    Citation: BMC Medical Informatics and Decision Making 2016 16:117

    Content type: Research article

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  34. The wide offer of information on pharmaceuticals does not often fulfill physicians’ needs: problems of relevance, access, quality and applicability are widely recognized, and doctors often rely on their own ex...

    Authors: Giulio Formoso, Paolo Rizzini, Maurizio Bassi, Paolo Bonfanti, Giuliano Rizzardini, Annalisa Campomori and Paola Mosconi

    Citation: BMC Medical Informatics and Decision Making 2016 16:115

    Content type: Research article

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  35. Few studies have evaluated stakeholder engagement in chronic kidney disease (CKD) research prioritization. In this two-arm, parallel group randomized controlled trial, we sought to compare an in-person nominal...

    Authors: Meghan J. Elliott, Sharon E. Straus, Neesh Pannu, Sofia B. Ahmed, Andreas Laupacis, George C. Chong, David R. Hillier, Kate T. Huffman, Andrew C. Lei, Berlene V. Villanueva, Donna M. Young, Helen Tam-Tham, Maoliosa Donald, Erin Lillie, Braden J. Manns and Brenda R. Hemmelgarn

    Citation: BMC Medical Informatics and Decision Making 2016 16:113

    Content type: Research article

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  36. Prescription narcotic overdoses and abuse have reached alarming numbers. To address this epidemic, integrated clinical decision support within the electronic medical record (EMR) to impact prescribing behavior...

    Authors: Rachel B. Seymour, Daniel Leas, Meghan K. Wally and Joseph R. Hsu

    Citation: BMC Medical Informatics and Decision Making 2016 16:111

    Content type: Technical advance

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    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2016 16:125

  37. Primary care physicians and other primary health care professionals from Alberta, Canada identified a clinical pathway as a potential tool to facilitate uptake of clinical practice guidelines for the diagnosis...

    Authors: Maoliosa Donald, Kerry McBrien, Wes Jackson, Braden J. Manns, Marcello Tonelli, Kathryn King-Shier, Kailash Jindal, Richard Z. Lewanczuk, Nairne Scott-Douglas, Ted Braun, Sharon E. Straus, Christopher Naugler, Meghan J. Elliott, Min Jun and Brenda R. Hemmelgarn

    Citation: BMC Medical Informatics and Decision Making 2016 16:109

    Content type: Research article

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  38. Well-designed clinical prediction models (CPMs) often out-perform clinicians at estimating probabilities of clinical outcomes, though their adoption by family physicians is variable. How family physicians inte...

    Authors: Benjamin Brown, Sudeh Cheraghi-Sohi, Thomas Jaki, Ting-Li Su, Iain Buchan and Matthew Sperrin

    Citation: BMC Medical Informatics and Decision Making 2016 16:106

    Content type: Research article

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  39. Shared decision making is a stated aim of several healthcare systems. In the area of cancer, patients’ views have informed policy on screening and treatment but there is little information about their views on...

    Authors: Sandra Hollinghurst, Jonathan Banks, Lin Bigwood, Fiona M. Walter, Willie Hamilton and Tim J. Peters

    Citation: BMC Medical Informatics and Decision Making 2016 16:105

    Content type: Research article

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  40. A problem-oriented approach is one of the possibilities to organize a medical record. The problem-oriented medical record (POMR) - a structured organization of patient information per presented medical problem...

    Authors: Sereh M. J. Simons, Felix H. J. M. Cillessen and Jan A. Hazelzet

    Citation: BMC Medical Informatics and Decision Making 2016 16:102

    Content type: Research article

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  41. Despite international initiatives like Orphanet, it remains difficult to find up-to-date information about rare diseases. The aim of this study is to propose an exhaustive set of queries for PubMed based on te...

    Authors: N. Griffon, M. Schuers, F. Dhombres, T. Merabti, G. Kerdelhué, L. Rollin and S. J. Darmoni

    Citation: BMC Medical Informatics and Decision Making 2016 16:101

    Content type: Research article

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  42. Healthcare researchers often use multiple healthcare survey instruments to examine a particular patient symptom. The use of multiple instruments can pose some interesting research questions, such as whether th...

    Authors: Yuncheol Kang, Melinda R. Steis, Ann M. Kolanowski, Donna Fick and Vittaldas V. Prabhu

    Citation: BMC Medical Informatics and Decision Making 2016 16:99

    Content type: Research article

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  43. Risk calculation is increasingly used in lipid management, congestive heart failure, and atrial fibrillation. The risk scores are then used for decisions about statin use, anticoagulation, and implantable defi...

    Authors: Frederick North, Samuel Fox and Rajeev Chaudhry

    Citation: BMC Medical Informatics and Decision Making 2016 16:96

    Content type: Research article

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  44. A growing number of physicians are using social media as a professional platform for health communication. The purpose of this study was to understand perspectives and experiences of these “early adopter” phys...

    Authors: Lauren Campbell, Yolanda Evans, Megan Pumper and Megan A. Moreno

    Citation: BMC Medical Informatics and Decision Making 2016 16:91

    Content type: Research article

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  45. Health information is increasingly being digitally stored and exchanged. The public is regularly collecting and storing health-related data on their own electronic devices and in the cloud. Diabetes prevention...

    Authors: Rebecca Grochow Mishuris, Jordan Yoder, Dan Wilson and Devin Mann

    Citation: BMC Medical Informatics and Decision Making 2016 16:88

    Content type: Research article

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  46. In organisational theory there is an assumption that knowledge is used effectively in healthcare systems that perform well. Actors in healthcare systems focus on managing knowledge of clinical processes like, ...

    Authors: Myriam Lingg, Kaspar Wyss and Luis Durán-Arenas

    Citation: BMC Medical Informatics and Decision Making 2016 16:85

    Content type: Research article

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  47. Administrative health care data are frequently used to study disease burden and treatment outcomes in many conditions including osteoarthritis (OA). OA is a chronic condition with significant disease burden af...

    Authors: Swastina Shrestha, Amish J. Dave, Elena Losina and Jeffrey N. Katz

    Citation: BMC Medical Informatics and Decision Making 2016 16:82

    Content type: Research article

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